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There is no question that the proliferation of connected devices has increased the volume, velocity, and variety of data available. Deriving value and business insight from this data is an ever evolving challenge for the enterprise. Moving beyond analyzing just discrete data points is when the real value of streaming sensor data begins to emerge. Graph databases allow for working with data in the context of the overall network, not just a stream of values from a sensor. This talk with cover an architecture for working with streaming data and graph databases, use-cases that make sense for graphs and IoT data, and how graphs can enable better real-time decisions from sensor data. Use cases covered will include data from oil and gas pipelines and the transportation industry.

William Lyon is a software developer at Neo4j, the open source graph database. As an engineer on the Developer Relations team, he works primarily on integrating Neo4j with other technologies, building demo apps, helping other developers build applications with Neo4j, and writing documentation... Read More →